Case studies by industry

Real AI automation results, industry by industry

Each case study shows the problem a company had, what they automated and the result they measured, linked to the published source. Then we show how we would build the same for your team, and how long it takes.

Case studies are published results from named companies and vendors, linked to their sources. They are not ATI Lab clients. ATI Lab's own client builds are on the home page.

6

Industries with sourced case studies

6-12 weeks

From scoping call to first workflow live

Baseline first

Hours, cost and errors measured before we switch anything on

Case studies

Pick your industry, see what worked

Each page collects the published case studies for that industry, the numbers behind them, and the workflow we'd deploy for you.

Problem

Month-end spent chasing receipts and retyping invoices.

What we build

Document intake and extraction into your ledger, with automated client reminders.

Published result (third-party)

−50%

AP processing time

Mid-sized CA firm via AI Accountant (opens source in a new tab)

5 sourced case studies: Mid-sized CA Firm · University of Aveiro · RSM + Additive AI Platform · Generations Wealth CPA (GWCPA) · CLA (CliftonLarsonAllen)

Problem

Calls go unanswered and AMS data is keyed in by hand.

What we build

AI call answering that logs to your AMS, plus document processing for quotes and renewals.

Published result (third-party)

58+ hrs

saved per month

O'Connor Insurance via Sonant AI (opens source in a new tab)

5 sourced case studies: O'Connor Insurance Associates · BIG Pickering Insurance · Best Practices Agency (Reagan Consulting Study) · Aviva (UK) · NIB Health Insurance (Australia)

Problem

The same client reports and briefs rebuilt every week.

What we build

Automated reporting from ad and analytics platforms, and request-to-project setup.

Published result (third-party)

40 hrs/wk

freed across a 4-person agency

Small agency via MEWR Creative (opens source in a new tab)

7 sourced case studies: 4-person marketing agency · Digital marketing agency · TRY · SBT · Deel · Klarna · United Fashion Group

Problem

The same questions fill the queue all day.

What we build

A hybrid support agent that resolves repeat tickets and hands the rest to your team with context.

Published result (third-party)

98%

of chats resolved without a human

Ruby Labs via Botpress (opens source in a new tab)

6 sourced case studies: Klarna · The Klarna lesson · Ruby Labs · NIB Health Insurance (Australia) · American Express · Waiver Consulting Group

Problem

Advisors researching and assembling reports instead of advising.

What we build

Research retrieval and report drafting assistants, plus KYC document collection.

Published result (third-party)

+20%

more completed loan applications

PenFed via Lucid (opens source in a new tab)

5 sourced case studies: JPMorgan Chase · Pentagon Federal Credit Union (PenFed) · Leading German Energy Provider · Global Telecom · IBM

Problem

Shipment details retyped from emails; status calls all day.

What we build

Email-to-TMS shipment registration and automated status updates.

Published result (third-party)

10 wks

concept to live invoice-checking tool

German energy provider via BCG (opens source in a new tab)

5 sourced case studies: Leading German Energy Provider · Global Biopharma Company · General Mills · UPS · JD.com (Chinese E-Commerce)

Typical first deployment

6-12 weeks from scoping call to first workflow live

The same four stages in every industry. How long each one takes depends on the systems involved, so we commit to dates after the scoping call.

6-12 weeks

  1. Scoping call

    We walk through the task, the systems it touches and what it costs you now.

  2. Baseline measured

    Hours, cost and errors recorded before anything is switched on.

  3. Workflow built and tested

    Built on your current systems, with a human approval step where it matters.

  4. Live, measured against the baseline

Published benchmarks

One headline benchmark per industry

Industry surveys and studies, not ATI Lab results. Each chart uses its own scale, so compare within a chart, not across them.

Accounting: interest vs investment

  • Intrigued by AI82%
  • Investing in AI training25%
Source: Karbon, State of AI in Accounting 2024. Third-party published result.

Insurance: processing cost reduction

  • AI-automated workflows30–50%
Source: Databricks / industry benchmarks. Third-party published result.

Marketing: hours saved per marketer each week

  • Saved with AI tools13 hrs/wk
Source: 2025 survey of 1,000 marketers. Bar drawn against a 40-hour week (our scale, not from the survey). Third-party published result.

Customer support: AI share in a stable hybrid

  • AI resolves60–70%
  • Your team30–40%
Source: industry deployment data 2024-2025. Third-party published result.

Financial services: operational cost reduction

  • AI agent automation15–35%
Source: SS&C Blue Prism / Forrester TEI Study. Third-party published result.

Logistics: procurement manual work streamlined

  • Manual workUp to 30%
Source: BCG. Third-party published result.

Next step

Pick one bottleneck. We'll scope the fix and the payback.

On a 30-minute call we walk through the task, the systems it touches and what it costs you now, then estimate what the first 6-12 week deployment would save.